TÜRKİYE’DE AĞIR SANAYİ ENDÜSTRİLERİNİN SİBER-FİZİKSEL ÜRETİM SİSTEMLERİNE GEÇİŞ POTANSİYELLERİNİN YENİ BİR BONFERRONİ FONKSİYONU TEMELLİ KARAR VERME YAKLAŞIMI İLE DEĞERLENDİRİLMESİ

Year 2022, , 1 - 16, 12.01.2022

Ömer Faruk Görçün , Hande Küçükönder

https://doi.org/10.51551/verimlilik.983133

Cited By: 4

Abstract

Amaç: Bu çalışma ağır sanayi alt sektörlerinin üretim sistemlerinin siber-fiziksel sistemler yardımıyla dönüştürebilme potansiyellerini incelemektedir. Birçok ülkede kamu ve özel sektör kaynakları, bütün ağır sanayi endüstrilerinin eş zamanlı olarak geliştirilmesi ve dönüştürülmesi için yeterli olamayabilmektedir. Bu nedenle politika yapıcılar dengeli ve sürdürülebilir bir gelişim ve kalkınma yaratabilmek için öncelikli sektörler belirleyebilirler.

Yöntem: Mevcut çalışmada önerilen yaklaşım, öncelikli sektörlerin belirlenmesi için LMAW (Logarithm Methodology of Additive Weights) tekniğinden yararlanmaktadır. LMAW tekniği hem nicel hem de nitel kriterlerin birlikte değerlendirilmesine imkân tanıyan aynı zamanda karar vericilerin öznel değerlendirmelerinin grup kararına dönüştürülmesinde Bonferroni fonksiyonunu temel alan çok kriterli karar verme (ÇKKV) yaklaşımlarından birisidir.

Bulgular: LMAW tekniğinin uygulanması sonucunda çalışmada en etkili değerlendirme kriterinin genel ekipman verimliliği olduğu ve ilk sırada Havacılık ve Uzay Sanayi Endüstrisinin yer aldığı gözlemlenmiştir.

Özgünlük: Bu çalışma ağır sanayi alt sektörlerinin siber fiziksel sistemlere geçiş sürecini yeni bir ÇKKV yaklaşımı kullanılarak incelemektedir.

Keywords

Ağır Sanayi, LMAW, Bonferroni Fonksiyonu, Çok Kriterli Grup Karar Verme, Siber-Fiziksel Sistemler

EVALUATION OF THE TRANSITIONS POTENTIAL TO CYBER-PHYSICAL PRODUCTION SYSTEM OF HEAVY INDUSTRIES IN TURKEY WITH A NOVEL DECISION-MAKING APPROACH BASED ON BONFERRONI FUNCTION

Abstract

Purpose: This study examines the potential of production systems of the heavy industry branches with the help of cyber-physical systems. Sources of public and private sectors may not be sufficient to transform and develop all heavy industry branches simultaneously. Because of that, policymakers can determine priority industries for development and growth, which are sustainable and balanced in a country.

Methodology: In current study, the proposed approach uses the LMAW (Logarithm Methodology of Additive Weights) technique to identify priority sectors. The LMAW is a novel MCDM (Multi-Criteria Decision Making) technique providing an opportunity to evaluate both objective and subjective criteria; in addition, it uses the Bonferroni functions to transform the subjective evaluations of decision-makers to the group decision.

Findings: It has been observed that the most significant criterion is overall equipment effectiveness (OEE), and the most prior branch of heavy industry is the aerospace industry.

Originality: This paper examines the transformation process of the heavy industry branches to the cyber-physical systems by using a new MCDM approach.

Keywords

Heavy Industries, LMAW, Bonferroni Function, Multicriteria Group Decision-Making, Cyber-Physical Systems.

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